Advertisement

Social Robot and Sensor Network in Support of Activity of Daily Living for People with Dementia

  • Sara CasacciaEmail author
  • Gian Marco Revel
  • Lorenzo Scalise
  • Roberta Bevilacqua
  • Lorena Rossi
  • Robert A. Paauwe
  • Irek Karkowsky
  • Ilaria Ercoli
  • J. Artur Serrano
  • Sandra Suijkerbuijk
  • Dirk Lukkien
  • Henk Herman Nap
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1117)

Abstract

In this paper, an eHealth system is described to improve the lifestyle of people with dementia and their caregivers. In the eWare project, a social robot is integrated with a sensor network to measure ADLs with the goal to provide context relevant suggestions to the person with dementia and reduce the caregiver burden. Furthermore, the context relevant messages can remind people with dementia to perform the activities that they want and need to perform, but forgot due to a decline of brain. The developments are based on iterative co-design and in-situ evaluations with people with dementia and their (in)formal carers. The architecture configuration of eWare was tested in laboratory experimental tests to provide a final ecosystem that will be further evaluated during the pilot cases of the project.

Keywords

Dementia Social robot Measurements 

Notes

Acknowledgements

The authors thank the care professionals and solder people who participated in the studies, and the eWare project partners for their support. We gratefully acknowledge support from the European Commission’s Active and Assisted Living programme, co-financed by the consortium national funding agencies. The authors also thank Eva de Jong, Peter Ruijten and Raymond Cuijpers to collaborate in some activities described in the paper.

References

  1. 1.
    Bouwhuis, D.G., Human Technology Interaction: Current use and possibilities of robots in care (2016)Google Scholar
  2. 2.
    Chen, K., Chan, A.H.S.: A review of technology acceptance by older adults. Gerontechnology 10, 1–12 (2011).  https://doi.org/10.4017/gt.2011.10.01.006.00CrossRefGoogle Scholar
  3. 3.
    Kamphof, I.: Seeing again. Dementia, personhood and technology. In: Ageing and Technology (2016)Google Scholar
  4. 4.
    eWare – Early Warning Accompanies Robotics Excellence. https://aal-eware.eu/wp/. Accessed 12 Dec 2018
  5. 5.
    Monteriù, A., Prist, M.R., Frontoni, E., et al.: A smart sensing architecture for domestic monitoring: methodological approach and experimental validation. Sensors 18, 2310 (2018).  https://doi.org/10.3390/s18072310CrossRefGoogle Scholar
  6. 6.
    Pietroni, F., Casaccia, S., Revel, G.M., et al.: Smart monitoring of user and home environment: the Health@Home acquisition framework. In: Casiddu, N., Porfirione, C., Monteriù, A., Cavallo, F. (eds.) Ambient Assisted Living, pp. 23–37. Springer, Cham (2019).  https://doi.org/10.1007/978-3-030-04672-9_2CrossRefGoogle Scholar
  7. 7.
    Suijkerbuijk, S., Nap, H.H., Cornelisse, L., et al.: Active involvement of people with dementia: a systematic review of studies developing supportive technologies. J. Alzheimer’s Dis. 69, 1041–1065 (2019).  https://doi.org/10.3233/JAD-190050CrossRefGoogle Scholar
  8. 8.
    Casaccia, S., Pietroni, F., Scalise, L., et al.: Health@Home: pilot cases and preliminary results : Integrated residential sensor network to promote the active aging of real users. In: 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1– (2018)6Google Scholar
  9. 9.
    Gochoo, M., Tan, T., Liu, S., et al.: Unobtrusive activity recognition of elderly people living alone using anonymous binary sensors and DCNN. IEEE J. Biomed. Health Inform. 1 (2018).  https://doi.org/10.1109/JBHI.2018.2833618
  10. 10.
    Bartneck, C., Forlizzi, J.: A design-centred framework for social human-robot interaction. In: RO-MAN 2004. In: 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No. 04TH8759). pp. 591–594 (2004)Google Scholar
  11. 11.
    Martin, B., Hanington, B.M.: Universal Methods of Design: 100 Ways to Research Complex Problems, Develop Innovative Ideas, and Design Effective Solutions. Rockport Publishers, Beverly (2012)Google Scholar
  12. 12.
    Mordoch, E., Osterreicher, A., Guse, L., et al.: Use of social commitment robots in the care of elderly people with dementia: a literature review. Maturitas 74, 14–20 (2013).  https://doi.org/10.1016/j.maturitas.2012.10.015CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sara Casaccia
    • 1
    Email author
  • Gian Marco Revel
    • 1
  • Lorenzo Scalise
    • 1
  • Roberta Bevilacqua
    • 2
  • Lorena Rossi
    • 2
  • Robert A. Paauwe
    • 3
  • Irek Karkowsky
    • 4
  • Ilaria Ercoli
    • 5
  • J. Artur Serrano
    • 6
  • Sandra Suijkerbuijk
    • 7
  • Dirk Lukkien
    • 7
  • Henk Herman Nap
    • 7
  1. 1.Department of Industrial Engineering and Mathematical SciencesUniversità Politecnica delle MarcheAnconaItaly
  2. 2.IRCCS INRCAAnconaItaly
  3. 3.RDM DokkantoorRotterdamThe Netherlands
  4. 4.Sensara B.VRotterdamThe Netherlands
  5. 5.JEF srlCivitanova MarcheItaly
  6. 6.Department of Neuromedicine and Movement Science, Faculty of Medicine and Health SciencesNTNU/Norwegian University of Science and TechnologyTrondheimNorway
  7. 7.VilansUtrecthThe Netherlands

Personalised recommendations